Free TCP Proxy
Stable Proxies:
IP address | Port | Country | Protocol | Verified |
---|---|---|---|---|
173.212.223.23 | 28083 | Germany | socks | 2 minutes ago |
213.219.198.69 | 80 | Russian Federation | http | 11 hours ago |
81.19.137.61 | 80 | France | socks | 12 hours ago |
193.233.232.116 | 80 | Austria | socks | 12 hours ago |
172.104.143.136 | 80 | Germany | http | 14 hours ago |
78.30.191.213 | 8080 | Serbia | http | 23 hours ago |
109.202.160.2 | 8888 | Russian Federation | http | 23 hours ago |
13.51.234.32 | 8096 | Sweden | http | 1 day ago |
172.64.154.143 | 80 | United States | http | 1 day ago |
62.109.0.18 | 24101 | Russian Federation | socks | 1 day ago |
65.21.159.49 | 80 | Finland | http | 1 day ago |
77.232.128.191 | 80 | Russian Federation | http | 2 day ago |
46.105.44.110 | 80 | France | http | 2 day ago |
152.53.3.82 | 7891 | Austria | socks | 2 day ago |
152.53.3.82 | 7890 | Austria | https | 2 day ago |
172.64.144.179 | 80 | Netherlands | http | 2 day ago |
213.21.59.134 | 4153 | Russian Federation | socks | 2 day ago |
95.220.110.1 | 80 | Russian Federation | socks | 3 day ago |
93.177.67.178 | 80 | Germany | http | 3 day ago |
93.171.103.125 | 8080 | Russian Federation | http | 3 day ago |
104.244.76.38 | 80 | Luxembourg | http | 3 day ago |
34.175.101.255 | 80 | Spain | http | 3 day ago |
91.65.102.12 | 80 | Germany | http | 4 day ago |
178.252.170.222 | 3128 | Iran | http | 4 day ago |
195.231.69.203 | 80 | Italy | http | 4 day ago |
172.67.75.35 | 80 | United States | http | 4 day ago |
172.67.128.150 | 80 | United States | http | 4 day ago |
172.66.40.144 | 80 | United States | http | 4 day ago |
172.64.145.59 | 80 | United States | http | 4 day ago |
172.67.165.123 | 80 | United States | http | 4 day ago |
172.67.162.240 | 80 | United States | http | 4 day ago |
79.121.102.227 | 8080 | Hungary | http | 4 day ago |
37.140.31.63 | 80 | Russian Federation | http | 4 day ago |
159.69.206.198 | 80 | Germany | http | 4 day ago |
185.146.173.59 | 80 | Sweden | http | 4 day ago |
103.130.145.169 | 80 | Turkey | http | 5 days ago |
79.174.12.190 | 80 | Russian Federation | http | 5 days ago |
41.65.236.53 | 1976 | Egypt | http | 5 days ago |
172.64.145.223 | 80 | United States | http | 5 days ago |
91.148.127.60 | 8080 | Serbia | http | 5 days ago |
178.254.42.248 | 80 | Germany | http | 5 days ago |
172.67.182.221 | 80 | United States | http | 5 days ago |
172.67.68.245 | 80 | Netherlands | http | 5 days ago |
172.64.194.218 | 80 | United States | http | 5 days ago |
45.81.232.17 | 8191 | Germany | socks | 6 days ago |
66.235.200.122 | 80 | United States | http | 6 days ago |
172.67.163.136 | 80 | United States | http | 6 days ago |
77.221.136.210 | 80 | Sweden | http | 6 days ago |
79.124.77.148 | 3128 | Bulgaria | http | 1 week ago |
176.10.111.23 | 80 | Switzerland | http | 1 week ago |
185.244.210.185 | 80 | France | http | 1 week ago |
95.110.227.85 | 3128 | Italy | http | 1 week ago |
147.45.104.252 | 80 | Russian Federation | http | 1 week ago |
206.189.12.206 | 80 | Netherlands | http | 1 week ago |
77.221.140.172 | 5556 | Sweden | socks | 1 week ago |
89.109.53.26 | 8123 | Russian Federation | http | 1 week ago |
217.160.99.39 | 80 | Germany | http | 1 week ago |
172.67.146.14 | 80 | United States | http | 1 week ago |
45.81.232.17 | 25306 | Germany | socks | 1 week ago |
91.228.186.61 | 80 | Turkey | http | 1 week ago |
45.81.232.17 | 22235 | Germany | socks | 1 week ago |
45.159.248.66 | 80 | United Kingdom | http | 1 week ago |
172.67.148.149 | 80 | United States | http | 1 week ago |
172.67.156.239 | 80 | United States | http | 1 week ago |
104.234.1.25 | 80 | Netherlands | http | 1 week ago |
91.107.142.189 | 80 | Germany | http | 1 week ago |
94.154.221.91 | 5678 | Ukraine | socks | 1 week ago |
46.164.227.196 | 1080 | Russian Federation | socks | 1 week ago |
45.81.232.17 | 63186 | Germany | socks | 1 week ago |
95.164.116.124 | 80 | Turkey | http | 1 week ago |
135.125.248.252 | 80 | Germany | http | 1 week ago |
88.198.161.3 | 80 | Germany | http | 1 week ago |
5.39.69.35 | 57486 | France | socks | 1 week ago |
185.105.118.72 | 80 | Finland | https | 1 week ago |
46.164.226.252 | 1080 | Russian Federation | socks | 1 week ago |
94.140.224.134 | 65056 | Russian Federation | https | 1 week ago |
213.91.232.94 | 8080 | Bulgaria | http | 1 week ago |
109.197.153.25 | 8888 | Russian Federation | http | 1 week ago |
178.48.68.61 | 18080 | Hungary | http | 1 week ago |
88.198.82.189 | 3128 | Germany | https | 1 week ago |
51.75.126.150 | 50677 | France | socks | 1 week ago |
185.221.160.17 | 80 | Russian Federation | http | 1 week ago |
89.179.112.252 | 5678 | Russian Federation | socks | 1 week ago |
51.75.126.150 | 48751 | France | socks | 1 week ago |
172.64.145.201 | 80 | United States | http | 1 week ago |
172.64.144.116 | 80 | United States | http | 1 week ago |
45.81.232.17 | 57668 | Germany | socks | 1 week ago |
45.81.232.17 | 37348 | Germany | socks | 1 week ago |
194.163.183.151 | 8899 | Germany | http | 1 week ago |
83.166.240.61 | 3031 | Russian Federation | https | 1 week ago |
45.81.232.17 | 25519 | Germany | socks | 1 week ago |
5.189.130.215 | 32293 | Germany | socks | 1 week ago |
5.189.130.215 | 32628 | Germany | socks | 1 week ago |
88.99.138.21 | 5801 | Germany | socks | 1 week ago |
45.153.230.46 | 80 | Germany | http | 1 week ago |
5.189.130.215 | 31224 | Germany | socks | 1 week ago |
45.81.232.17 | 54248 | Germany | socks | 2 weeks ago |
45.143.220.99 | 8118 | Netherlands | https | 2 weeks ago |
172.64.147.188 | 80 | United States | http | 2 weeks ago |
212.127.78.79 | 39811 | Poland | http | 2 weeks ago |
Fast and stable proxies
Russia |
100 IP
19$
|
500 IP
69$
|
1 000 IP
99$
|
3 000 IP
249$
|
5 000 IP
399$
|
USA |
100 IP
25$
|
500 IP
69$
|
1 000 IP
99$
|
3 000 IP
249$
|
5 000 IP
399$
|
Great Britain |
100 IP
19$
|
500 IP
69$
|
1 000 IP
99$
|
3 000 IP
249$
|
5 000 IP
399$
|
Germany |
100 IP
19$
|
500 IP
69$
|
1 000 IP
99$
|
3 000 IP
249$
|
5 000 IP
499$
|
Europe |
100 IP
19$
|
500 IP
69$
|
1 000 IP
99$
|
3 000 IP
229$
|
5 000 IP
379$
|
China |
100 IP
19$
|
500 IP
69$
|
1 000 IP
99$
|
3 000 IP
249$
|
5 000 IP
Sold out
|
Ukraine |
100 IP
19$
|
500 IP
69$
|
1 000 IP
99$
|
3 000 IP
Sold out
|
5 000 IP
Sold out
|
Australia |
100 IP
19$
|
500 IP
69$
|
1 000 IP
99$
|
3 000 IP
Sold out
|
5 000 IP
Sold out
|
Canada |
100 IP
19$
|
500 IP
69$
|
1 000 IP
99$
|
3 000 IP
Sold out
|
5 000 IP
Sold out
|
Netherlands |
100 IP
19$
|
500 IP
69$
|
1 000 IP
99$
|
3 000 IP
Sold out
|
5 000 IP
Sold out
|
France |
100 IP
19$
|
500 IP
69$
|
1 000 IP
99$
|
3 000 IP
Sold out
|
5 000 IP
Sold out
|
Turkey |
100 IP
19$
|
500 IP
69$
|
1 000 IP
99$
|
3 000 IP
Sold out
|
5 000 IP
Sold out
|
India |
100 IP
19$
|
500 IP
69$
|
1 000 IP
99$
|
3 000 IP
Sold out
|
5 000 IP
Sold out
|
Poland |
100 IP
19$
|
500 IP
69$
|
1 000 IP
99$
|
3 000 IP
Sold out
|
5 000 IP
Sold out
|
Spain |
100 IP
19$
|
500 IP
69$
|
1 000 IP
99$
|
3 000 IP
Sold out
|
5 000 IP
Sold out
|
Mix of countries |
1 000 IP
99$
|
3 000 IP
229$
|
5 000 IP
379$
|
10 000 IP
729$
|
15 000 IP
1049$
|
FAQ
What is the best free proxy server?
It is generally not recommended to use a free proxy server, as they may not be reliable or secure. Free proxy servers may not provide adequate security or privacy, and they may be run by malicious parties who could potentially compromise your security.
If you do decide to use a free proxy server, it is important to carefully research the service and choose a reputable one. Some popular free proxy servers include Hidester, Hide.me, and Kproxy. However, keep in mind that these services may not be completely secure or reliable, and it is important to be aware of the potential risks and limitations of using a free proxy.
It is generally a good idea to use a proxy in conjunction with other security measures, such as a virtual private network (VPN), to increase your anonymity and protect your online privacy.
Why you need to scrape data from Twitter? Is it Legal?
There are a few reasons why you might need to scrape data from Twitter:
1. Research: You might need to scrape data from Twitter for research purposes, such as analyzing trends or patterns in social media conversations.
2. Marketing: You might use Twitter data scraping to gather information about potential customers or to monitor brand mentions.
3. News gathering: Journalists and media organizations might use Twitter data scraping to gather news stories or to monitor breaking news events.
4. Sentiment analysis: You might use Twitter data scraping to perform sentiment analysis, which involves analyzing the sentiment (positive, negative, or neutral) of tweets or other social media posts.
As for whether it is legal to scrape data from Twitter, it depends on how you use the data and whether you follow the terms of service of the platform. In general, it is not illegal to scrape publicly available data from the internet, as long as you are not using it for malicious purposes or violating the terms of service of the platform. However, it is always a good idea to check the terms of service of the platform before scraping data to ensure that you are not violating any rules.
In summary, you might need to scrape data from Twitter for a variety of reasons, such as research, marketing, news gathering, or sentiment analysis. Whether it is legal to scrape data from Twitter depends on how you use the data and whether you follow the platform's terms of service.
What Is Data Quality?
Data quality refers to the level of accuracy, completeness, reliability, and relevance of data. It is an important aspect of data management and a critical component of decision-making in organizations. Poor data quality can lead to incorrect or misleading results, decreased efficiency, and decreased confidence in the data being used.
Data quality is influenced by a number of factors, including the source of the data, the data collection methods used, and the processes and systems used to manage the data. It is important to implement data quality control measures, such as data validation and verification, to ensure that the data being used is of high quality.
There are several dimensions of data quality, including:
1. Accuracy: This refers to the degree to which data accurately reflects the real-world values or events it is meant to represent.
2. Completeness: This refers to the extent to which data is complete, including the absence of missing or incomplete values.
3. Consistency: This refers to the degree to which data is consistent with other data within the same dataset or across different datasets.
4. Timeliness: This refers to the degree to which data is up-to-date and reflects current values or events.
5. Validity: This refers to the degree to which data conforms to specified business rules or constraints.
Improving data quality is an ongoing process that requires ongoing attention and effort, but the benefits of high-quality data are significant, including better decision-making, improved efficiency, and increased customer satisfaction.
What is Telegram automation?
Telegram automation refers to the process of using software and tools to automate tasks on the Telegram platform. This can include actions such as sending messages, posting to channels, or automating the creation of groups and channels. Telegram automation is used by individuals and organizations to streamline their communication processes, automate repetitive tasks, and manage large groups of people. However, it's important to note that the use of automation on Telegram is subject to the platform's terms of service, which prohibit the use of automated tools for spamming or harassing other users. Additionally, it's important to be respectful of others and not overuse automation tools, as it can lead to a negative user experience for those who receive automated messages.
Use an Amazon scraper to gather valuable market data
Scraping Amazon to gather market data can provide valuable insights into consumer behavior and market trends, but it's important to be aware of the legal implications of scraping the site.
Amazon's terms of service prohibit the scraping of their website without prior written consent. If you do choose to scrape Amazon, it's important to use a reliable and ethical scraper that respects the site's terms of service and does not engage in any malicious or disruptive activity.
When using an Amazon scraper, you can gather data on product prices, customer reviews, sales trends, and other information that can be used to make informed business decisions. However, it's important to keep in mind that the data obtained through scraping may not always be accurate or up-to-date, and relying solely on scraped data is not recommended. It's best to use scraped data as one of several sources of market intelligence, and to always verify the information through additional research and analysis.
New Reviews
- Richard
I recently had a payment issue and reached out to the customer service team for assistance. I was extremely impressed by the quick response and the level of customer care I received. The team provided clear instructions on how to resolve the issue and were very professional in their approach. I am happy to report that the system works exactly as advertised and I have not encountered any other issues since. I highly recommend this service for its great customer service and reliable performance.
- Filipp
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